结构方程模型

K. Bollen, S. Rabe-Hesketh, A. Skrondal
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引用次数: 40

摘要

结构方程模型是指包含连续潜变量、多个概念指标、测量误差、方程误差和观测变量的多方程系统的一般统计程序。使用结构方程模型的分析有几个组成部分。这些包括(a)模型规范,(b)隐含矩矩阵,(c)识别,(d)估计,(e)模型拟合,以及(f)重新规范。本文还介绍了结构方程模型的历史渊源。关键词:结构方程模型;因子加载矩阵;路径分析;隐含矩矩阵;模式识别;respecification
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural Equation Models
Structural equation models refer to general statistical procedures for multiequation systems that include continuous latent variables, multiple indicators of concepts, errors of measurement, errors in equations, and observed variables. An analysis that uses structural equation models has several components. These include (a) model specification, (b) the implied moment matrix, (c) identification, (d) estimation, (e) model fit, and (f) respecification. Historical origins of structural equation models are also described. Keywords: structural equation models; factor loading matrix; path analysis; implied moment matrix; model identification; respecification
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